ArticleApplied clinical informatics2016
Integrating Heterogeneous Biomedical Data for Cancer Research: the CARPEM infrastructure.
Article in Applied clinical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional Requirements for Medical Data Integration into Knowledge Management Environments: Requirements Elicitation Approach Based on Systematic Literature Analysis.Journal of medical Internet research · 2023Pooled it
- A Data-Centric Approach for Health Care and Research in a Health Knowledge Management Platform: Implementation and Requirement-Based Evaluation Study.JMIR medical informatics · 2026Article
- Patient Identification and Tumor Identification Management: Quality Program in a Cancer Multicentric Clinical Data Warehouse.Cancer informatics · 2023Article
- A framework for validating AI in precision medicine: considerations from the European ITFoC consortium.BMC medical informatics and decision making · 2021Article
- Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study.Journal of medical Internet research · 2020Article
- What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions.JMIR formative research · 2020Review
- Creative Approaches to Global Cancer Research and Control.JCO global oncology · 2020Article
- Personalizing Precision Oncology Clinical Trials in Latin America: An Expert Panel on Challenges and Opportunities.The oncologist · 2019Review
- Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium.BMC bioinformatics · 2019Article
- Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer.Scientific reports · 2018Article
- Integrating Multimodal Radiation Therapy Data into i2b2.Applied clinical informatics · 2018Article
- Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.PloS one · 2018Article
- Usability and Suitability of the Omics-Integrating Analysis Platform tranSMART for Translational Research and Education.Applied clinical informatics · 2017Article
- The Role of Free/Libre and Open Source Software in Learning Health Systems.Yearbook of medical informatics · 2017Article
- Partnering with patients in translational oncology research: ethical approach.Journal of translational medicine · 2017Article
- The Virtuous Circles of Clinical Information Systems: a Modern Utopia.Yearbook of medical informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer research involves numerous disciplines. The multiplicity of data sources and their heterogeneous nature render the integration and the exploration of the data more and more complex. Translational research platforms are a promising way to assist scientists in these tasks. In this article, we identify a set of scientific and technical principles needed to build a translational research platform compatible with ethical requirements, data protection and data-integration problems. We describe the solution adopted by the CARPEM cancer research program to design and deploy a platform able to integrate retrospective, prospective, and day-to-day care data. We designed a three-layer architecture composed of a data collection layer, a data integration layer and a data access layer. We leverage a set of open-source resources including i2b2 and tranSMART.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.